Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

被引：0

作者：

机构：

[1] Wellcome Trust Centre for Human Genetics,Department of Pharmacology

[2] University of Oxford,Department of Biostatistics

[3] Broad Institute of Harvard and Massachusetts Institute of Technology (MIT),Department of Medicine

[4] University of Pennsylvania–Perelman School of Medicine,Department of Medicine Solna

[5] University of Michigan,Department of Public Health and Primary Care

[6] Center for Human Genetic Research,Department of Biology

[7] Massachusetts General Hospital,Department of Medicine I

[8] Harvard Medical School,Division of Rheumatology

[9] deCODE Genetics,Department of Genetic Medicine and Development

[10] Atherosclerosis Research Unit,Department of Preventive Medicine

[11] Karolinska Institutet,Division of Genetics and Endocrinology

[12] Center for Molecular Medicine,Department of Biostatistics

[13] Karolinska University Hospital Solna,Division of Endocrinology and Metabolism

[14] University of Cambridge,Department of Biostatistics

[15] Research Unit of Molecular Epidemiology,Department of Epidemiology

[16] Helmholtz Zentrum Muenchen,Department of Nutrition and Epidemiology

[17] Oxford Centre for Diabetes,Department of Medicine

[18] Endocrinology and Metabolism,Department of Public Health and General Practice

[19] University of Oxford,Department of Internal Medicine

[20] Institut National de la Santé et de la Recherche Médicale (INSERM) Unité Mixte de Recherche (UMR) 1087,Department of Medical Epidemiology and Biostatistics

[21] Centre National de la Recherche Scientifique (CNRS) UMR 6291,Department of Vascular Medicine

[22] Medicine and Health,Department of Medicine

[23] Nantes University,Department of Chronic Disease Prevention

[24] Estonian Genome Center,Department of Clinical Science Malmö

[25] University of Tartu,Department of Endocrinology and Metabolism

[26] Institute of Molecular and Cell Biology,Department of General Practice and Primary Health Care

[27] University of Tartu,Division of Cardiovascular Epidemiology

[28] Centre for Population Health Sciences,Department of Pulmonary Physiology and Sleep Medicine

[29] University of Edinburgh,Department of Genomics

[30] Wellcome Trust Sanger Institute,Department of Cardiology

[31] Medical Research Council (MRC) Epidemiology Unit,Department of Genetics

[32] Institute of Metabolic Science,Department of Clinical Chemistry and Central Laboratory

[33] Addenbrooke's Hospital,Department of Epidemiology

[34] Institute of Medical Informatics,Department of Internal Medicine

[35] Biometry and Epidemiology,Department of Medical Sciences

[36] Ludwig-Maximilians-Universität,Department of Medicine

[37] Institute of Genetic Epidemiology,Division of Endocrinology

[38] Helmholtz Zentrum Muenchen,Department of Medicine/Metabolic Diseases

[39] University Hospital Grosshadern,Department of Community Medicine

[40] Ludwig-Maximilians-Universität,Department of Clinical Physiology and Nuclear Medicine

[41] Institute for Medical Informatics,Department of Medical Sciences

[42] Biometry and Epidemiology,Department of Dietetics

[43] University Hospital of Essen,Nutrition

[44] University Duisburg-Essen,Department of Internal Medicine

[45] CNRS UMR 8199,Department of Medicine

[46] Institute of Biology and Lille 2 University,Department of Genetics

[47] Pasteur Institute,Division of Endocrinology and Diabetes, Department of Internal Medicine

[48] Laboratory of Mathematics,Department of Pharmacological Sciences

[49] CNRS UMR 8524,Department of Statistics

[50] University Lille 1,Division of Epidemiology and Community Health

来源：

Nature Genetics | 2012年 / 44卷

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摘要：

Mark McCarthy, Michael Boehnke, Andrew Morris and colleagues perform large-scale association analyses using the Metabochip to gain insights into the genetic architecture of type 2 diabetes. They report several new susceptibility loci, including two that show sex-differentiated effects on disease risk.

引用

页码：981 / 990

页数：9

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